ReviewChaos, solitons, and fractals2020
A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemic.
Review in Chaos, solitons, and fractals, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04762693 (Digital Acoustic Surveillance for Early Detection of Respiratory Disease Outbreaks), which is not on this map. Cited by 38 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Digital Acoustic Surveillance for Early Detection of Respiratory Disease Outbreaks: An Exploratory Observational Study in Navarra, Spain
Who cites it
38 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Role of Digital Technology in Curbing COVID-19.International journal of environmental research and public health · 2022Pooled it
- Comparative review of artificial intelligence for transcriptomic biomarker discovery in coronavirus disease 2019 (COVID-19).Briefings in bioinformatics · 2026Review
- Perceptions and Attitudes of Emergency Physicians in Saudi Arabia Regarding Medical Use of Artificial Intelligence.Cureus · 2025Article
- Artificial Intelligence-augmented public health interventions in India.Health affairs scholar · 2025Article
- Assessing the potential for application of machine learning in predicting weather-sensitive waterborne diseases in selected districts of Tanzania.Frontiers in artificial intelligence · 2025Article
- Innovative applications of artificial intelligence during the COVID-19 pandemic.Infectious medicine · 2024Review
- Stratifying risk of disease in haematuria patients using machine learning techniques to improve diagnostics.Frontiers in oncology · 2024Article
- Needs and expectations for artificial intelligence in emergency medicine according to Canadian physicians.BMC health services research · 2023Article
- Strategies to Improve the Impact of Artificial Intelligence on Health Equity: Scoping Review.JMIR AI · 2023Article
- Systematic review of MCDM approach applied to the medical case studies of COVID-19: trends, bibliographic analysis, challenges, motivations, recommendations, and future directions.Complex & intelligent systems · 2023Article
- When might host heterogeneity drive the evolution of asymptomatic, pandemic coronaviruses?Nonlinear dynamics · 2023Article
- Agent-based social simulations for health crises response: utilising the everyday digital health perspective.Frontiers in public health · 2023Article
- A new parallel multi-objective Harris hawk algorithm for predicting the mortality of COVID-19 patients.PeerJ. Computer science · 2023Article
- Group early intervention eye movement desensitization and reprocessing therapy as a video-conference psychotherapy with frontline/emergency workers in response to the COVID-19 pandemic in the treatment of post-traumatic stress disorder and moral injury-An RCT study.Frontiers in psychology · 2023Article
- Handling class imbalance in COVID-19 chest X-ray images classification: Using SMOTE and weighted loss.Applied soft computing · 2022Article
- Chest X-ray analysis empowered with deep learning: A systematic review.Applied soft computing · 2022Article
- Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues.Cluster computing · 2022Article
- Screening Lung Diseases Using Cascaded Feature Generation and Selection Strategies.Healthcare (Basel, Switzerland) · 2022Article
- Optimizing human-centered AI for healthcare in the Global South.Patterns (New York, N.Y.) · 2022Review
- CR19: a framework for preliminary detection of COVID-19 in cough audio signals using machine learning algorithms for automated medical diagnosis applications.Journal of ambient intelligence and humanized computing · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
While the world has experience with many different types of infectious diseases, the current crisis related to the spread of COVID-19 has challenged epidemiologists and public health experts alike, leading to a rapid search for, and development of, new and innovative solutions to combat its spread. The transmission of this virus has infected more than 18.92 million people as of August 6, 2020, with over half a million deaths across the globe; the World Health Organization (WHO) has declared this a global pandemic. A multidisciplinary approach needs to be followed for diagnosis, treatment and tracking, especially between medical and computer sciences, so, a common ground is available to facilitate the research work at a faster pace. With this in mind, this survey paper aimed to explore and understand how and which different technological tools and techniques have been used within the context of COVID-19. The primary contribution of this paper is in its collation of the current state-of-the-art technological approaches applied to the context of COVID-19, and doing this in a holistic way, covering multiple disciplines and different perspectives. The analysis is widened by investigating Artificial Intelligence (AI) approaches for the diagnosis, anticipate infection and mortality rate by tracing contacts and targeted drug designing. Moreover, the impact of different kinds of medical data used in diagnosis, prognosis and pandemic analysis is also provided. This review paper covers both medical and technological perspectives to facilitate the virologists, AI researchers and policymakers while in combating the COVID-19 outbreak.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.